# Legal text processing

A Portuguese large language model fine-tuned from Qwen2.5-0.5B-Instruct, specializing in text generation tasks

Vietnamese text embedding model focused on RAG (Retrieval-Augmented Generation) and productivity, fine-tuned based on intfloat/multilingual-e5-base

A Portuguese large language model fine-tuned based on Mistral-7B-Instruct-v0.2, focusing on improving Portuguese text generation capabilities

This is a Polish-based cross-encoder model for text ranking and sentence similarity calculation.

A multilingual sequence-to-sequence model based on Flan-T5-Large, supporting Vietnamese, English, and Chinese, suitable for tasks such as summarization, translation, and question answering.

A multilingual XLM-RoBERTa model pre-trained on legal data, supporting legal text processing in 24 European languages

A Portuguese semantic text similarity model fine-tuned based on the BERTimbau large model, capable of mapping sentences to a 1024-dimensional vector space

This model is a fine-tuned version of the Portuguese BERT base model (neuralmind/bert-base-portuguese-cased), with unspecified specific tasks

A BERTimbau-based Portuguese sentence similarity calculation model that maps sentences and paragraphs to a 768-dimensional vector space

A RoBERTa base model trained on Spanish legal domain corpus, specializing in Spanish legal text processing